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ORCIDBigData Conference 2023: Sorrento, Italy
- Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 - Fatimah Alotaibi, Dawei Zhou:
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. 1-5 - Stratos Idreos:
The Data Systems Grammar: Self-designing Systems for the era of AI. 1 - Raffaele Russo, Giuliano Di Giuseppe, Alessandro Vanacore, Valerio La Gatta, Antonino Ferraro, Antonio Galli, Marco Postiglione, Vincenzo Moscato:
Graph-Based Approach for European Law Classification. 1-9 - Weili Sun, Boyu Gao, Jiahao Chen, Shuyan Huang, Weiqi Luo:
An Interactive Framework of Balancing Evaluation Cost and Prediction Accuracy for Knowledge Tracing. 1-8 - Vipin Kumar:
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges. 2 - Qiong Luo:
GPU Acceleration for Data Processing and Analytics. 3 - Minos N. Garofalakis:
Have your data and share it too: Private data analytics at scale. 4 - Jeffery Ullman:
Big-Data Algorithms That Are Not Machine Learning. 5 - Yichuan Deng, Yeqi Gao, Zhao Song:
Solving Tensor Low Cycle Rank Approximation. 6-16 - Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li:
Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine. 17-26 - Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou:
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach. 27-36 - Hsiang-Yu Ku, Che-Rung Lee:
CoMABO: Covariance Matrix Adaptation for Bayesian Optimization. 37-45 - Hou-Wan Long, Xiongfei Zhao
, Yain-Whar Si:
Dynamic Mining Interval to Improve Blockchain Throughput. 46-55 - Lianke Qin, Aravind Reddy, Zhao Song:
Online Adaptive Mahalanobis Distance Estimation. 56-65 - Stijn J. Rotman, Boris Cule, Len Feremans:
Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. 66-75 - Rohit P. Singh, Philip A. Wilsey:
Compact Boundary Matrix from a Polytopal Complex for Computing Persistent Homology. 76-85 - Xiuqin Xu, Mingwei Lin, Wenqiang Li, Jianpeng Zhang, Hao Wu:
Time-varying QoS Estimation via Non-negative Latent Factorization of Tensors with Extended Linear Biases. 86-95 - Radhika Joshi, Calvin Thomas Dani, Shiva Jahangiri:
Big Data Management System Architectures: From Opportunities to Challenges [Vision]. 96-101 - Na Li, Yiyang Qi, Ruyue Xin, Zhiming Zhao:
Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning. 102-107 - Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal:
Verifying Relational Explanations: A Probabilistic Approach. 108-115 - Emanuela Marasco:
Vision Paper: Hyperspectral Analysis of Finger Skin Reflectance for Resilient Biometric Systems. 116-120 - Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen:
KF K-means: A High Performance K-means Implementation using Kernel Fusion. 121-127 - Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou:
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. 128-133 - Ali Sekmen, Bahadir Bilgin, Guy Sereff:
Quality Ranking for Synthetically Generated Images. 134-138 - Nawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott A. Shearer, Dhabaleswar K. Panda:
HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. 139-148 - Chengcheng Mou, Minh Pham, Benjamin Hsu, Yicheng Tu:
Computing Group-By and Aggregates on Massively Parallel Systems. 149-158 - Wei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler:
User-guided Page Merging for Memory Deduplication in Serverless Systems. 159-169 - Michelle S. Zhou:
PieRank: Embedded Large-Scale Sparse Matrix Processing. 170-181 - Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. 182-189 - Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque:
Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper). 190-195 - Edward Curry:
Towards Open World Event Processing: A Paradigm and Research Agenda for Event Processing for the Internet of Multimedia Things (Vision Paper). 196-200 - Eduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas:
ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. 201-206 - Isuru Dharmadasa, Faheem Ullah:
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms. 207-214 - Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets. 215-220 - Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel Stein, Jinwei Liu, Ang Li, Ying Mao:
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System. 221-228 - Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. 229-236 - Jinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya:
Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds. 237-246 - Dimitar Misev, Mikhail Rodionychev, Peter Baumann:
Performance of Null Handling in Array Databases. 247-254 - Masanobu Nozawa, Satoshi Imamura, Kenji Kono:
Accelerating Multilingual Applications with In-memory Array Sharing. 255-262 - Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel:
gSPICE: Model-Based Event Shedding in Complex Event Processing. 263-270 - Manal A. Alshehri, Xiangliang Zhang:
Forgetting User Preference in Recommendation Systems with Label-Flipping. 271-281 - Stefano Fiorini, Michele Ciavotta, Carlo Liberto, Gaetano Valenti:
On-Street Parking Prediction: A Comparative Study. 282-291 - Minh Pham, Craig A. Knoblock, Muhao Chen:
Detecting Semantic Errors in Tables using Textual Evidence. 292-303 - Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. 304-314 - Ga Wu, Shivam Khare, Li Zhou, Yael Brumer, Jun-Ping Ng, Ruowei Wang:
Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter. 315-324 - Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Multiloss-Based Optimization for Time Series Data Augmentation. 325-330 - Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono:
Efficient Missing Value Imputation by Maximum Distance Likelihood. 331-338 - Vasilis Efthymiou, Ekaterini Ioannou, Manos Karvounis, Manolis Koubarakis, Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis, Dimitrios Skoutas, Yannis Velegrakis, Alexandros Zeakis:
Self-configured Entity Resolution with pyJedAI. 339-343 - Parveen Kaur, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Chung-Horng Lung, Marzia Zaman, Abdul Mutakabbir:
A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction. 344-351 - Xi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu:
Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. 352-359 - Pravin Poudel, Will Usher, Steve Petruzza:
Multi-layer Caching and Parallel Streaming for Large Scale Cloud Optimized Point Cloud Data Visualization using WebGPU. 360-365 - Yuewen Shen, Xinhao Yang, Jiayu Zhao, Ze Li:
An Analysis of Combined Data Augmentation in Time Series Prediction Tasks Using Discrete Wavelet Multilevel Decomposition. 366-371 - Naoto Takeda, Akihiro Kobayashi, Yudai Yamazaki, Daisuke Kamisaka:
Fine-Grained Urban Population Distribution Estimation Using Image Super-Resolution Model with Rich Auxiliary Information. 372-376 - Yu Zhang, Haiwei Pan, Kejia Zhang, Tianming Zhang, Qingquan Ren, Wenjie Li:
Dual-Path Side Information Fusion for Sequential Recommendation. 377-382 - Alexander Kalinowski, Deepayan Datta, Yuan An:
A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport. 383-392 - Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. 393-402 - Guojun Liu, Yuefeng Ma, Xun Liang:
Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public Expectation. 403-412 - Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. 413-422 - Pattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh:
Discovery and Matching Numerical Attributes in Data Lakes. 423-432 - Shaun Toh, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee:
MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding. 433-442 - Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. 443-452 - Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong:
Multi-State Brain Network Discovery. 453-462 - Yongsheng Yu, Jia Wu, Jian Yang:
Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network. 463-472 - Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. 473-482 - Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. 483-492 - Joyanta Basak, Sartaj Sahni, Sanguthevar Rajasekaran:
SuperBlocking: An Efficient Blocking Technique for Record Linkage. 498-503 - Huiwen Dong, Qing-Guo Wang, Wei Ding:
Chain-Based Outlier Detection for Complex Data Scenarios. 504-509 - Blake B. Gaines, Minghu Song, Jinbo Bi:
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. 510-515 - Jiehui Liu, Jieyu Zhan:
Constructing Knowledge Graph from Cyber Threat Intelligence Using Large Language Model. 516-521 - Juntong Luo, Scott Sallinen, Matei Ripeanu:
Maximum Flow on Highly Dynamic Graphs. 522-529 - Qizhong Mao, Vagelis Hristidis:
Increase Merge Efficiency in LSM Trees Through Coordinated Partitioning of Sorted Runs. 530-535 - Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen:
PSQS: Parallel Semantic Querying Service for Self-describing File Formats. 536-541 - Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. 542-547 - Karan Samel, Jun Ma, Zhengyang Wang, Tong Zhao, Irfan Essa:
Integrating Noisy Knowledge into Language Representations for E-Commerce Applications. 548-553 - Haozhe Tian, Haibo Hu, Qingqing Ye:
CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks. 554-561 - Zuxuan Zhang, Hongxi Li, Kai Huang, Yuncheng Jiang:
k-bitruss-Attributed Weighted Community Search on Attributed Weighted Bipartite Graphs. 562-567 - Aarti, Jagat Sesh Challa, Utkarsh Darolia, Mridul Chandak, Poonam Goyal, Navneet Goyal:
An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams. 568-577 - Ademola Adesokan, Sanjay Madria:
NeuEmot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 FIFA World Cup via Low-Level Emotion. 578-587 - David Baumgartner, Helge Langseth, Heri Ramampiaro, Kenth Engø-Monsen:
mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites. 588-597 - Zongyi Chen, Sanchuan Guo, Liyan Shen, Xi Zhang, Zhuonan Chang:
Improving Knowledge Distillation for Federated Learning on Non-IID Data. 598-607 - Pengnan Chi, Xiaoliang Ma:
Difforecast: Image Generation Based Highway Traffic Forecasting with Diffusion Model. 608-615 - Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. 616-625 - Yueh-Lin Chung, Hsing-Kuo Pao:
Density-Based Prototypical Contrastive Learning on Visual Representations. 626-635 - Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu:
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. 636-645 - Tomojit Ghosh, Michael Kirby:
Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder. 646-655 - Dongyun Han, Isaac Cho:
Interactive Visualization for Smart Power Grid Efficiency and Outage Exploration. 656-661 - Yaowei Hu, Jacob Lear, Lu Zhang:
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning. 662-671 - Wanchang Jiang, Yuxin Jiang:
Adaptive Shrinkage Denoising and Sequential State Extraction Model for Vibration Event Recognition. 672-679 - Yuhui Jiang, Xingjian Lu, Wei Mao, Ying Li:
Integrating Staleness and Shapley Value Consistency for Efficient K-Asynchronous Federated Learning. 680-689 - Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar:
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. 690-699 - Yang Li, Yaying Zhang:
Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting. 700-709 - Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng:
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. 710-717 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps. 718-727 - Yanhong Li, Jack Xu, David C. Anastasiu:
SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting. 728-737 - Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto:
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. 738-747 - Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park:
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. 748-757 - Yintai Ma, Diego Klabjan:
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. 758-767 - Nicholas O. Malott, Philip A. Wilsey:
Scalable Homology Classification through Decomposed Euler Characteristic Curves. 768-777 - Junki Mori, Ryo Furukawa, Isamu Teranishi, Jun Sakuma:
Heterogeneous Domain Adaptation with Positive and Unlabeled Data. 778-787 - Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee:
Generalized Causal Tree for Uplift Modeling. 788-798 - Phuong Nguyen, Hiep Tran, Tuan M. V. Le:
Multi-view Deep Markov Models for Time Series Anomaly Detection. 799-808 - Hanbyeol Park, Dohee Kim, Minseop Kim, Mingyu Park, Hyerim Bae, Yunkyung Park:
A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) prediction. 809-818 - Wenting Qi, Charalampos Chelmis:
Hybrid Loss for Hierarchical Multi-label Classification Network. 819-828 - Hadi Salman, Caleb Parks, Matthew Swan, John Gauch:
OrthoNets: Orthogonal Channel Attention Networks. 829-837 - Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. 838-846 - Chun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee:
Interpretable Sock Puppet Attribution. 847-856 - Syed Attique Shah, Xiaoyang Zeng, Awais Ahmed, Shaheed Parvez, Rui Xi, Mengshu Hou:
Multi-Instance Bias Suppression for Enhanced Generalization in Breast Cancer Diagnosis : Harnessing Histopathological Big Data Insights. 857-864 - Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu:
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. 865-874 - Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach:
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. 875-884 - Yimin Sun, Xiaobo Zhang, Zhehao Zhang, Yunyang Wu, Haihao Tang, Haonan Luo:
ABF-FNN: A new fuzzy neural network for predicting coal mine gas concentration hazard. 885-894 - Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. 895-904 - Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. 905-914 - Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta:
Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions. 915-924